Academic Articles & Research Papers

Recent Advances in Knowledge Representation and Management in Healthcare: the Emerging Role of Large Language Models.

The potential role of large language models in addressing phenoconversion in pharmacogenomics.

Prompt engineering of large language models for paper screening in medical meta-analyses and systematic reviews: A prospective comparative study.

The Structural Sources of Verb Meanings Revisited: Large Language Models Display Syntactic Bootstrapping.

Navigating digital surgical advice: evaluating the reliability of large language models for pediatric phimosis.

Performance and reliability of large language models on the European Board of Hand Surgery examination: a multi-model evaluation study.

Cultural bias in large language models' ability to follow neuroradiology guidelines.

Developing a FAIR data policy for chemical risk assessment and exploring future topics and stakeholder interests with large language models and data sciences.

Research on the construction of an adaptive mindfulness-based cognitive therapy system based on large language models and its efficacy in addressing college students' anxiety.

Context presentation and native conversation structure in large language model responses to escalating suicide risk: a controlled multimodel evaluation

BackgroundLarge language models are increasingly used for informal mental health support, yet their safety during escalating suicide-risk conversations may depend on how prior information is presented. Native multi-turn conversations and re...

System 2 Thinking in OpenAI’s o1-Preview Model: Near-Perfect Performance on a Mathematics Exam

The processes underlying human cognition are often divided into System 1, which involves fast, intuitive thinking, and System 2, which involves slow, deliberate reasoning. Previously, large language models were criticized for lacking the de...

Comparative assessment of patient education content generated by five large language models on post-stroke complications: A cross-sectional study of safety, accuracy, reliability, readability, and empathy

Objective To compare the safety, accuracy, reliability, readability, and empathy of patient education content generated by five large language models (LLMs) for post-stroke complications. Methods This CHART-guided cross-sectional comparativ...

Evaluating an LLM-assisted workflow for clinical documentation: A pilot randomized controlled trial on time and quality.

Large language models (LLMs) have been investigated for clinical documentation, with concerns about hallucinations and factual errors. Clinician review and revision of LLM-generated drafts are considered essential; however, the impact of su...

Comparative Analysis of Deep Natural Networks and Large Language Models for Aspect-Based Sentiment Analysis

Sentiment analysis is essential for comprehending public opinion, particularly when considering e-commerce and the expansion of online businesses. Early approaches treated sentiment analysis as a document or sentence-level classification pr...

Interaction with LLM-Based Systems: A Structured Review and Taxonomy of Mechanisms and Autonomy

Large language models (LLMs) are increasingly integrated into interactive systems across domains such as software development, robotics, and education. As these systems evolve from simple chat interfaces to autonomous, tool-using agents, th...

Synergizing Generative AI and Cybersecurity: Roles of Generative AI Entities, Companies, Agencies, and Government in Enhancing Cybersecurity

The digital landscape of the modern world has witnessed a remarkable evolution over the past few decades, with technological advancements permeating every facet of our lives. While these innovations have brought forth unprecedented convenie...

Review of Generative AI methods in cybersecurity

Over the last decade, Artificial Intelligence (AI) has become increasingly popular, especially with the use of chatbots such as ChatGPT, Google’s Gemini, and DALL-E. With this rise, large language models (LLMs) and Generative AI (GenAI) hav...

Generative AI in cybersecurity: A comprehensive review of LLM applications and vulnerabilities

This paper provides a comprehensive review of the future of cybersecurity through Generative AI and Large Language Models (LLMs). We explore LLM applications across various domains, including hardware design security, intrusion detection, s...

Large Language Models in Cybersecurity: State-of-the-Art

The rise of Large Language Models (LLMs) has revolutionized our comprehension of intelligence bringing us closer to Artificial Intelligence. Since their introduction, researchers have actively explored the applications of LLMs across divers...

Toward Autonomous Extraction and Building of Machine-Readable Molecular Models from Publications Using Large Language Models.